Assessing Heterogeneity of Two-Part Model via Bayesian Model-Based Clustering with Its Application to Cocaine Use Data
The purpose of this chapter is to provide an introduction to the model-based clustering within the Bayesian framework and apply it to asses the heterogeneity of fractional data via finite mixture two-part regression model. The problems related to the number of clusters and the configuration of obser...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/80937 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Assessing Heterogeneity of Two-Part Model via Bayesian Model-Based Clustering with Its Application to Cocaine Use Data
- Cocaine and Its Variations in Forms of Presentation and Addiction
- Chromatographic Methodologies for Analysis of Cocaine and Its Metabolites in Biological Matrices
- The Interactional Approach in the Treatment of Cocaine Addicts
- Cocaine Addiction: Changes in Excitatory and Inhibitory Neurotransmission
- Proteome-informed machine learning studies of cocaine addiction
- Factors related to internalized stigma in Colombian cocaine users